| Autore |
Cressie Noel A. C.
|
| Edizione | [Revised edition.] |
| Pubbl/distr/stampa |
New York : , : Wiley-Interscience Publication, , 1993
|
| Descrizione fisica |
1 online resource (1762 p.)
|
| Disciplina |
519.535
|
| Collana |
Wiley Series in Probability and Statistics
|
| Soggetto topico |
Spatial analysis (Statistics)
|
| ISBN |
1-119-11515-9
1-119-11517-5
1-119-11518-3
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Acknowledgments; Chapter 1: Statistics for Spatial Data; 1.1 Spatial Data and Spatial Models; 1.2 Introductory Examples; 1.3 Statistics for Spatial Data: Why?; Part I: Geostatistical Data; Chapter 2: Geostatistics; 2.1 Continuous Spatial Index; 2.2 Spatial Data Analysis of Coal Ash in Pennsylvania; 2.3 Stationary Processes; 2.4 Estimation of the Variogram; 2.5 Spectral Representations; 2.6 Variogram Model Fitting; Chapter 3: Spatial Prediction and Kriging; 3.1 Scale of Variation; 3.2 Ordinary Kriging; 3.3 Robust Kriging
3.4 Universal Kriging3.5 Median-Polish Kriging; 3.6 Geostatistical Data, Simulated and Real; Chapter 4: Applications of Geostatistics; 4.1 Wolfcamp-Aquifer Data; 4.2 Soil-Water Tension Data; 4.3 Soil-Water-Infiltration Data; 4.4 Sudden-Infant-Death-Syndrome Data; 4.5 Wheat-Yield Data; 4.6 Acid-Deposition Data; 4.7 Space-Time Geostatistical Data; Chapter 5: Special Topics in Statistics for Spatial Data; 5.1 Nonlinear Geostatistics; 5.2 Change of Support; 5.3 Stability of the Geostatistical Method; 5.4 Intrinsic Random Functions of Order k; 5.5 Applications of the Theory of Random Processes
5.6 Spatial Design5.7 Field Trials; 5.8 Infill Asymptotics; 5.9 The Many Faces of Spatial Prediction; Part II: Lattice Data; Chapter 6: Spatial Models on Lattices; 6.1 Lattices; 6.2 Spatial Data Analysis of Sudden Infant Deaths in North Carolina; 6.3 Conditionally and Simultaneously Specified Spatial Gaussian Models; 6.4 Markov Random Fields; 6.5 Conditionally Specified Spatial Models for Discrete Data; 6.6 Conditionally Specified Spatial Models for Continuous Data; 6.7 Simultaneously Specified and Other Spatial Models; 6.8 Space-Time Models; Chapter 7: Inference for Lattice Models
7.1 Inference for the Mercer and Hall Wheat-Yield Data7.2 Parameter Estimation for Lattice Models; 7.3 Properties of Estimators; 7.4 Statistical image Analysis and Remote Sensing; 7.5 Regional Mapping: Scotland Lip-Cancer Data; 7.6 Sudden-Infant-Death-Syndrome Data; 7.7 Lattice Data, Simulated and Real; Part III: Spatial Patterns; Chapter 8: Spatial Point Patterns; 8.1 Random Spatial Index; 8.2 Spatial Data Analysis of Longleaf Pines (Pinus palustris); 8.3 Point Process Theory; 8.4 Complete Spatial Randomness, Distance Functions, and Second Moment Measures; 8.5 Models and Model Fitting
8.6 Multivariate Spatial Point Processes8.7 Marked Spatial Point Processes; 8.8 Space-Time Point Patterns; 8.9 Spatial Point Patterns, Simulated and Real; Chapter 9: Modeling Objects; 9.1 Set Models; 9.2 Random Parallelograms in R2; 9.3 Random Closed Sets and Mathematical Morphology; 9.4 The Boolean Model; 9.5 Methods of Boolean-Model Parameter Estimation; 9.6 Inference for the Boolean Model; 9.7 Modeling Growth with Random Sets; References; Author Index; Subject Index
|
| Record Nr. | UNINA-9910208954003321 |
Info
Statistics for spatial data / / Noel A.C. Cressie
